Introduction

This storyboard delivers our final project product by visualizing Formula 1 Racing data focused on analyzing information on the drivers and different circuits.

Data showcase 1: Which factors are important to determine the best driver?

Multiple linear regression was utilized to determine which factors are important to evaluate the best driver.

Wins = b0 + (Pole Position) X1 + (Total Points) X2 + (Fastest Laps) X3 + (Podiums) X4 + (1st WDC Age) X5 + e
Note: b0 is the intercept of the regression line and e is the model error (residuals) or the variation in the model

R^2 = 0.9778, p-value = 6.995e-05

Tried to evaluate the height factor, however, the p-value was truly not significant since the p-value was 0.4155.

Data showcase 2: Animated Plot of Career Total Wins for Top 10 Racers

Data showcase 3: 2009-2013 Pole Wins compared to Total Wins

Data showcase 4: 2014-2021 Turbo Hybrid Era

Data showcase 5: Average Pit Stop Time from 2011-2021

Data showcase 6: Total Points in 2021 for Different Racers

Data showcase 7: 2021 F1 Teams Total Points

Data showcase 8: 2021 US Grand Prix Qualifying

These 2 graphs are created using the “f1dataR” library!

Data showcase 9: Fernando Alonso’s Record Breaking Distance!

Data showcase 10: Wins per team by track since 2006

Data showcase 11: Wins per driver since 2006

Data showcase 12: Frequency of Max Verstappen’s & Lewis Hamilton’s Finishing Positions

Data showcase 13: Most Wins for Each Racer at Various Circuits

Data showcase 14: Wins based on Started Grid Position

Data showcase 15: F1 WDC Racers and their Podium Wins

Data showcase 16: F1 WDC Racer Ages